Announcing the 2021 Summer Institutes in Computational Social Science. #SICSS is for grad students, post-docs & beginning faculty. Free for participants. @chris_bail and I are happy to tell you about all 20 locations. https://t.co/wolhtZIMc5 [thread]

SICSS brings together social scientists & data scientists interested in computational social science for 1-2 week events with intensive study & collaborative research.
Topics covered include automated text analysis, web scraping, non-probability sampling, digital experiments, ethics & much more.
All education materials created for SICSS are available open-source so that people who are unable to participate can still learn. You can also use them in your teaching. Here are materials from previous years: https://t.co/eClPRGEDc7
Because of COVID, all SICSS locations will be online only in 2021.
.@chris_bail and I will be organizing SICSS-Princeton from June 14-25. Applications are due Feb 22. https://t.co/EvxnmwUK8L
In addition to SICSS-Princeton, there will be 19 partner locations organized by SICSS alumni and the broader SICSS community.
SICSS-Beijing. Organized by Yan Leng (SICSS 2018), Tian Yang, Yuan Yuan (SICSS 2019). https://t.co/DxQJU2eH74
SICSS-Bologna. Organized by Filippo Andreatta, Giampiero Giacomello, Marco Albertini, Matthew Loveless, Nicolò Cavalli (SICSS 2018). https://t.co/HBs9Q7ZOhl
SICSS-Chicago. Organized by Kat Albrecht (SICSS 2017), Carrie Stallings, Andrew Papachristos. https://t.co/tWBHdmLN2v
SICSS-FGV/DAPP Brazil. Organized by Marco Aurelio Ruediger, Tiago Ventura (SICSS 2019), Amaro Grassi, Danilo Carvalho. https://t.co/v4ukan2rwn
SICSS-Helsinki. Organized by Matti Nelimarkka (SICSS 2017). https://t.co/X5UNpqxWEb
SICSS-Howard/Mathematica. Organized by Naniette Coleman (SICSS 2019). https://t.co/nh2XszHgrc
SICSS-HSE University. Organized by Elizaveta Sivak (SICSS 2019), Sofia Dokuka, Ivan Smirnov. https://t.co/Gipe04pTiR
SICSS-Istanbul. Organized by Akin Unver, Yunus Emre Tapan. https://t.co/krRyUqUZpE
SICSS-Law. Organized by Rūta Liepiņa (SICSS 2020), Monika Leszczynska (SICSS 2019), Catalina Goanta. https://t.co/gS1OVYXfCq
SICSS-Lisbon. Organized by Qiwei Han (SICSS 2020), Filipa Reis. https://t.co/lKgt2DQvRD
SICSS-London. Organized by Andrea Baronchelli, Joshua Becker (SICSS 2017), Nicola Perra, Milena Tsvetkova, Mike Yeomans (SICSS 2017). https://t.co/ajGCK9DLJy
SICSS-Montréal. Organized by Vissého Adjiwanou (SICSS 2017). https://t.co/8ynqJ5AAhB
SICSS-Oxford. Organized by Christopher Barrie (SICSS 2019), Charles Rahal, Francesco Rampazzo (SICSS 2018), Tobias Rüttenauer (SICSS 2019). https://t.co/7guXRlZzhJ
SICSS-Rutgers. Organized by Michael Kenwick, Katie McCabe (SICSS 2019), Katya Ognyanova, Andrey Tomashevskiy. https://t.co/dD8AqRK4Xf
SICSS-Stellenbosch. Organized by Douglas Parry (SICSS 2019), Richard Barnett (SICSS 2018). https://t.co/ptcbTIaIKG
SICSS-Taiwan. Organized by Feng-Yi Liu (SICSS 2019), Robin Lee (SICSS 2020). https://t.co/540Vqgj0or
SICSS-Tokyo. Organized by Hirokazu Shirado (SICSS 2017), Makiko Nakamuro. https://t.co/guC2J4NvFC
SICSS-UCLA. Organized by Jenny Brand, Alina Arseniev-Koehler (SICSS 2018), Bernard Koch, Pablo Geraldo. https://t.co/9OK8pPiuYg
SICSS-Zurich. Organized by Elliott Ash (SICSS 2017), Malka Guillot (SICSS 2019), Philine Widmer (SICSS 2019). https://t.co/bl7rMP5URp
All SICSS locations welcome applications from people with different backgrounds, interests & experiences. Also, all locations have pre-arrival materials to make sure that everyone is ready to participate and learn.
If you are new to computational social science, check out @chris_bail's new SICSS bootcamp. This online training program is designed to provide you with beginner level skills in coding so that you can follow the more advanced curriculum we teach at SICSS. https://t.co/ZXr3RrAIha
SICSS is available at no cost to participants thanks to grants from @RussellSageFdn, @SloanFoundation, @SSRC & @facebook. Some SICSS locations have also received support from other funders.
So far more about 650 people have participated in SICSS. You can learn about them here: https://t.co/UpvCET1tSN
You can learn more about hosting a partner location at your university, company, government agency, or organization here: https://t.co/M2ZYNuGs3l
You can learn more about SICSS here: https://t.co/wolhtZIMc5
Thank you to the entire SICSS community for making SICSS 2021 possible.

More from Science

https://t.co/hXlo8qgkD0
Look like that they got a classical case of PCR Cross-Contamination.
They had 2 fabricated samples (SRX9714436 and SRX9714921) on the same PCR run. Alongside with Lung07. They did not perform metagenomic sequencing on the “feces” and they did not get


A positive oral or anal swab from anywhere in their sampling. Feces came from anus and if these were positive the anal swabs must also be positive. Clearly it got there after the NA have been extracted and were from the very low-level degraded RNA which were mutagenized from

The Taq.
https://t.co/yKXCgiT29w to see SRX9714921 and SRX9714436.
Human+Mouse in the positive SRA, human in both of them. Seeing human+mouse in identical proportions across 3 different sequencers (PRJNA573298, A22, SEX9714436) are pretty straight indication that the originals

Were already contaminated with Human and mouse from the very beginning, and that this contamination is due to dishonesty in the sample handling process which prescribe a spiking of samples in ACE2-HEK293T/A549, VERO E6 and Human lung xenograft mouse.

The “lineages” they claimed to have found aren’t mutational lineages at all—all the mutations they see on these sequences were unique to that specific sequence, and are the result of RNA degradation and from the Taq polymerase errors accumulated from the nested PCR process
1. I find it remarkable that some medics and scientists aren’t raising their voices to make children as safe as possible. The comment about children being less infectious than adults is unsupported by evidence.


2. @c_drosten has talked about this extensively and @dgurdasani1 and @DrZoeHyde have repeatedly pointed out flaws in the studies which have purported to show this. Now for the other assertion: children are very rarely ill with COVID19.

3. Children seem to suffer less with acute illness, but we have no idea of the long-term impact of infection. We do know #LongCovid affects some children. @LongCovidKids now speaks for 1,500 children struggling with a wide range of long-term symptoms.

4. 1,500 children whose parents found a small campaign group. How many more are out there? We don’t know. ONS data suggests there might be many, but the issue hasn’t been studied sufficiently well or long enough for a definitive answer.

5. Some people have talked about #COVID19 being this generation’s Polio. According to US CDC, Polio resulted in inapparent infection in more than 99% of people. Severe disease occurred in a tiny fraction of those infected. Source:
Ever since @JesseJenkins and colleagues work on a zero carbon US and this work by @DrChrisClack and colleagues on incorporating DER, I've been having the following set of thoughts about how to reduce the risk of failure in a US clean energy buildout. Bottom line is much more DER.


Typically, when we see zero-carbon electricity coupled to electrification of transport and buildings, implicitly standing behind that is totally unprecedented buildout of the transmission system. The team from Princeton's modeling work has this in spades for example.

But that, more even than the new generation required, runs straight into a thicket/woodchipper of environmental laws and public objections that currently (and for the last 50y) limit new transmission in the US. We built most transmission prior to the advent of environmental law.

So what these studies are really (implicitly) saying is that NEPA, CEQA, ESA, §404 permitting, eminent domain law, etc, - and the public and democratic objections that drive them - will have to change in order to accommodate the necessary transmission buildout.

I live in a D supermajority state that has, for at least the last 20 years, been in the midst of a housing crisis that creates punishing impacts for people's lives in the here-and-now and is arguably mostly caused by the same issues that create the transmission bottlenecks.

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